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Automated Severity Classification of AIDS Hospitalizations

Author

Listed:
  • Frank W. Stitt
  • Ying Lu
  • Gordon M. Dickinson
  • Nancy G. Klimas

Abstract

To validate an automated AIDS severity-of-illness prognostic algorithm, 2,113 discharge summaries of HIV-infected patients were merged with the Problem-Oriented Medical Synopsis (POMS) and an HIV risk registry. The combination of a medically derived classification and staging algorithm with multivariate statistical techniques was used for automated severity-of-illness disease staging and prognostic assignment. The model correctly predicted the outcomes of 82% of all cases (death, survivorship) at discharge, and 66% of deaths.

Suggested Citation

  • Frank W. Stitt & Ying Lu & Gordon M. Dickinson & Nancy G. Klimas, 1991. "Automated Severity Classification of AIDS Hospitalizations," Medical Decision Making, , vol. 11(4_suppl), pages 41-45, December.
    • Handle: RePEc:sae:medema:v:11:y:1991:i:4_suppl:p:s41-s45
    DOI: 10.1177/0272989X9101104s06
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